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Table 7 The averaged predictive ability across 100 replications for different methods in 4 scenes of simulation

From: Ensemble learning for integrative prediction of genetic values with genomic variants

Method

0.2

0.5

5qtl

1000qtl

5qtl

1000qtl

Predictive ability

p-value

Predictive ability

p-value

Predictive ability

p-value

Predictive ability

p-value

ELPGV

0.4346 ± 0.0116

—

0.3079 ± 0.0109

—

0.7034 ± 0.0064

—

0.5851 ± 0.0085

—

BayesA

0.4042 ± 0.0122

3.317E−15

0.2961 ± 0.0110

1.565E−08

0.6865 ± 0.0068

1.057E−16

0.5765 ± 0.0085

2.652E−17

BayesB

0.4257 ± 0.0118

0.001E−00

0.2842 ± 0.0112

1.096E−08

0.6985 ± 0.0065

0.002E−00

0.5756 ± 0.0086

6.910E−09

BayesCÏ€

0.3741 ± 0.0140

4.577E−11

0.2956 ± 0.0108

2.828E−10

0.6955 ± 0.0064

1.712E−12

0.5768 ± 0.0086

2.048E−16

GBLUP

0.2952 ± 0.0144

1.032E−22

0.2959 ± 0.0110

6.161E−07

0.5505 ± 0.0096

3.553E−34

0.5727 ± 0.0084

7.160E−13

  1. ELPGV is the ensemble learning based on BayesA, BayesB, BayesCÏ€ and GBLUP
  2. — Represents no explicit result was found in this method